Blizzy — CS2 Stats

76561198169900461[U:1:209634733]Steam profile ↗

2,552Tracked matches59%Win rate2020Tracked since

5,135Hours in CS12Hrs last 2 wks

CSDB Rating6.3 SolidPassive Rifler

Premier CS Rating25,373Top 25% of 819 CSDB-tracked playersRed band · top ~2.8% of ranked players (population est.)

CSDB Leaderboard#1407 of 9533 tracked

WingmanGold Nova Master

Ladder ranks via Leetify

Share this profile

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim83

Positioning37

Utility66

0–100 skill scores via Leetify.

Recent form

STEADY52–46–2Last 10052%Win rateLLWLLWWLLW

Last 10 vs previous 10: -20pp win rate · -0.02 avg rating

Player DNA

Primary style: Passive Rifler — Aim-led profile without a single dominant tendency.

Aim8.3

Aggression2.4

Utility6.6

Positioning3.7

Opening Duels0.0

Clutch4.0

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

Plays most like NiKo 84% playstyle similarity

Most alike: utility contribution, aim profile.

Where you differ: lower positioning profile; lower opening-fight frequency.

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

Strengths & areas to improve

Areas to improve

Preaim. Mechanical aim is strong but the crosshair sits 11.2° off target when enemies appear — placement, not flicking, is the bigger win available.

Positioning. Positioning trails aim by 46 points — deaths here waste a strong aim profile.

Reaction time. 605ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Generated by fixed rules over this profile's own numbers — no model, no guessing; silent when the sample is too small to support a claim.

CSDB Rating breakdown

Aim8.3

Positioning3.7

Utility6.6

Mechanics6.5

Opening Duels0.5

Win Impact7.9

Composite 6.3/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01+0.01

first ⅓ avg -0.00 → last ⅓ avg 0.01

Reaction time601ms−41ms

first ⅓ avg 642ms → last ⅓ avg 601ms

Headshot accuracy25.6%+1.1%

first ⅓ avg 24.5% → last ⅓ avg 25.6%

Rolling 5-match average across the last 100 tracked matches, oldest to newest. The delta compares the first third of the window with the last.

Highlights

0.12Best rating — mirage 13–9

13–2Biggest win — cache

4Longest win streak

L2Current streak

11–3In matches decided by ≤2 rounds

7Overtime games

Map breakdown

nukeBest map · 86% over 7infernoWeakest map · 36% over 14

Map	Grade	Played	Record	Win rate	Avg rating
mirage	A	26	16–10	62%	0.01
dust2	B	21	11–10	52%	-0.00
inferno	C	14	5–9	36%	-0.01
ancient	C	11	4–7	36%	-0.01
cache	B	11	5–6	45%	-0.02
anubis	C	7	3–4	43%	0.02
nuke	S	7	6–1	86%	0.00
vertigo	—	2	2–0	100%	0.07
italy	—	1	0–1	0%	0.01

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (36% over 14). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

133,401Lifetime kills

1.01K/D

6,365Matches

43.3%Match win rate

44.3%Headshot %

12.8%Shot accuracy · Top 50% of tracked players

16,723MVPs

3,216Hours (in match)

5,465Bombs planted

2,016Bombs defused

Most-used weapons

AK-4746,904

AWP25,196

M4A4 / M4A1-S15,607

Desert Eagle8,224

P2000 / USP-S8,091

Glock-185,326

Knife2,757

Zeus x272,288

SSG 082,161

P2501,799

Lifetime map wins

15,794dust2

6,450inferno

4,280nuke

1,962train

1,756vertigo

549office

504cbble

91lake

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

905Matches

50%Win rate

1.09Avg K/D

81.7ADR

45%Headshot %

Clutches & streaks

40%1v1 clutch win

24%1v2 clutch win

8Longest win streak

Recent Faceit resultsLWWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	208	49%	1.08	17.0
Dust2	99	46%	1.12	17.7
Inferno	76	49%	1.06	16.6
Ancient	76	50%	1.13	17.7
Nuke	71	54%	1.21	18.1
Anubis	70	47%	1.24	18.4
Cache	38	58%	1.20	16.3
Overpass	29	55%	1.21	16.5

Faceit-match stats via the FACEIT Data API — a separate match pool from the sections above.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

24.6%Headshot accuracy

40.7%Accuracy (enemy spotted)

43.3%Spray accuracy

79.1%Counter-strafing

11.2°Preaim

605msReaction time

24.2%T opening success

34.1%CT opening success

0.60Enemies flashed / flash

11.0%Flash assists

12.43HE damage / grenade

10.98Flashes / match

Recommended for you

Chosen by comparing your tracked metrics against the thresholds we flag — the measurement behind each one is shown, so you can disagree with it.

Advanced Mechanics
You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.
T opening duels 24.1985% — below the 40% mark we flag

Spend your practice time on Inferno

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

36% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
inferno	4–13	-0.01	21%	27 Aug →
anubis	2–13	-0.03	33%	25 Aug →
mirage	13–5	0.02	26%	25 Aug →
ancient	12–16	0.01	26%	25 Aug →
dust2	4–13	-0.07	21%	24 Aug →
inferno	13–11	0.02	17%	23 Aug →
mirage	13–11	-0.03	21%	22 Aug →
dust2	10–13	-0.04	24%	20 Aug →
inferno	9–13	0.01	17%	16 Aug →
inferno	13–10	0.07	19%	16 Aug →
nuke	13–9	0.00	17%	16 Aug →
dust2	7–13	-0.05	26%	15 Aug →
vertigo	13–10	0.08	19%	14 Aug →
vertigo	13–6	0.06	26%	14 Aug →
dust2	9–13	-0.04	33%	11 Aug →
dust2	5–13	0.03	29%	8 Aug →
mirage	13–11	-0.03	42%	8 Aug →
cache	13–7	0.02	46%	6 Aug →
mirage	16–13	0.00	25%	4 Aug →
ancient	11–13	0.04	25%	31 Jul →
mirage	13–8	0.02	29%	30 Jul →
inferno	3–13	-0.03	28%	29 Jul →
inferno	16–14	-0.04	26%	28 Jul →
ancient	13–10	0.01	12%	28 Jul →
mirage	13–9	0.12	16%	27 Jul →
mirage	15–15	0.01	15%	26 Jul →
mirage	13–11	-0.02	21%	26 Jul →
anubis	13–7	0.11	24%	26 Jul →
inferno	3–13	-0.07	33%	26 Jul →
mirage	13–8	0.01	32%	26 Jul →
dust2	13–8	0.05	26%	24 Jul →
dust2	11–13	0.01	31%	24 Jul →
ancient	5–13	-0.03	38%	23 Jul →
dust2	13–10	0.02	17%	23 Jul →
anubis	5–13	0.05	32%	22 Jul →
cache	13–2	0.04	16%	21 Jul →
mirage	8–13	-0.06	12%	21 Jul →
anubis	13–11	0.03	21%	19 Jul →
mirage	13–2	0.05	27%	19 Jul →
inferno	5–13	-0.08	25%	19 Jul →
cache	13–10	-0.01	30%	19 Jul →
mirage	9–13	-0.05	24%	19 Jul →
cache	13–8	0.04	23%	18 Jul →
italy	7–13	0.01	35%	18 Jul →
ancient	8–13	-0.05	14%	18 Jul →
dust2	13–10	-0.02	19%	18 Jul →
dust2	13–3	0.07	86%	18 Jul →
mirage	13–10	0.04	21%	18 Jul →
mirage	6–13	0.03	32%	17 Jul →
inferno	13–4	0.00	27%	17 Jul →
cache	9–13	-0.04	20%	16 Jul →
nuke	13–8	0.07	33%	16 Jul →
mirage	13–7	-0.01	52%	14 Jul →
cache	10–13	-0.04	17%	12 Jul →
inferno	13–8	-0.01	21%	12 Jul →
ancient	14–16	-0.02	19%	11 Jul →
dust2	13–11	-0.01	21%	11 Jul →
cache	3–13	-0.11	21%	11 Jul →
dust2	13–10	-0.02	13%	11 Jul →
mirage	13–3	0.01	19%	10 Jul →
cache	5–13	-0.10	28%	9 Jul →
mirage	13–11	0.02	31%	9 Jul →
mirage	13–5	0.08	36%	9 Jul →
dust2	7–13	-0.02	29%	8 Jul →
mirage	7–13	-0.04	17%	8 Jul →
cache	8–13	0.01	25%	7 Jul →
dust2	10–13	0.02	18%	5 Jul →
mirage	15–15	0.04	21%	5 Jul →
ancient	13–11	0.00	29%	5 Jul →
dust2	13–7	0.04	22%	5 Jul →
ancient	13–9	0.00	29%	5 Jul →
nuke	13–8	0.00	25%	5 Jul →
nuke	8–13	-0.00	18%	5 Jul →
dust2	13–7	0.06	18%	4 Jul →
mirage	6–13	-0.09	20%	4 Jul →
nuke	13–6	0.02	38%	4 Jul →
inferno	4–13	0.03	22%	4 Jul →
inferno	7–13	0.04	40%	3 Jul →
anubis	8–13	-0.04	29%	2 Jul →
cache	10–13	0.04	28%	2 Jul →
anubis	6–13	-0.01	17%	1 Jul →
nuke	13–5	-0.05	33%	1 Jul →
ancient	10–13	-0.00	26%	1 Jul →
inferno	3–13	-0.10	18%	1 Jul →
mirage	8–13	0.04	20%	30 Jun →
ancient	4–13	-0.03	23%	30 Jun →
dust2	13–6	0.02	23%	30 Jun →
cache	13–7	-0.04	20%	30 Jun →
mirage	13–8	0.04	20%	30 Jun →
inferno	8–13	-0.01	31%	30 Jun →
anubis	13–8	0.01	17%	29 Jun →
ancient	16–13	-0.01	15%	29 Jun →
dust2	10–13	-0.05	18%	29 Jun →
dust2	5–13	-0.05	30%	29 Jun →
dust2	13–6	-0.00	23%	28 Jun →
mirage	6–13	-0.02	22%	28 Jun →
mirage	13–11	-0.01	34%	28 Jun →
mirage	4–13	-0.04	29%	28 Jun →
dust2	13–4	0.04	23%	28 Jun →
nuke	13–11	-0.01	28%	28 Jun →